MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202511060720 A) filed by Dr. Shivangi Ghildiyal; Dr. Shelendra Pal; and Jitendra Kumar, Bareilly, Uttar Pradesh, on June 25, for 'ai-assisted diagnostic system for skin cancer classification via mobile image capture.'
Inventor(s) include Dr. Shivangi Ghildiyal; Dr. Shelendra Pal; and Jitendra Kumar.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "The invention discloses an accurate and user-friendly tool for early detection of skin malignancies. The system employs a mobile device equipped with a camera to capture high-resolution images of skin lesions, which are then processed by an integrated artificial intelligence engine. This engine uses deep learning algorithms, particularly convolutional neural networks (CNNs), trained on large datasets of dermatological images to classify lesions into categories such as benign, malignant, or precancerous. The system includes modules for real-time image preprocessing, including lighting correction, noise reduction, and lesion segmentation, to ensure consistent image quality and enhance diagnostic precision. A user guidance interface assists individuals in capturing clinically relevant images by providing feedback on focus, lighting, and framing. The diagnostic results are generated on-device or via secure cloud-based computation, with options for encrypted storage and transmission of data to healthcare professionals for further evaluation. The system integrates with electronic health records and telemedicine platforms, improving skin cancer screening accessibility and efficiency. It combines mobile imaging, AI-based diagnosis, and telehealth connectivity, making it ideal for remote settings and resource-limited settings."
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